library(readr)
library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

library(ggplot2)
library(ggthemes)
library(plotly)

## 
## Attaching package: 'plotly'

## The following object is masked from 'package:ggplot2':
## 
##     last_plot

## The following object is masked from 'package:stats':
## 
##     filter

## The following object is masked from 'package:graphics':
## 
##     layout

aqi_grouped <- read_csv("/home/ashish/data-visualization-lab/Air_Quality_Project/data/aqi_grouped.csv", show_col_types = FALSE)

fig <- aqi_grouped %>%
  plot_ly(
    x = ~year, 
    y = ~recordings,
    color = ~Category, 
    frame = ~state_name, 
    text = ~state_name, 
    hoverinfo = "text",
    type = 'scatter',
    mode = 'markers'
  )
fig <- fig %>% layout(
    xaxis = list(
      type = "log"
    ),
    yaxis = list(
      range=c(0,800)
    )
  )

fig

filter_five_years <- dplyr::filter(aqi_grouped, year %in% c("1980", "1985", "1990", "1995", "2000","2005", "2010", "2015", "2020", "2021", "2022"))
vbP <- c('#7fbf7b','#b30000','#fc8d59','#67a9cf','#c994c7','#016c59')
p <- ggplot(filter_five_years, aes(state_name))
p + geom_bar(aes(fill=Category)) + scale_fill_manual(values=vbP) + theme_economist() + theme(axis.text.x = element_text(size=12, angle = 90, vjust = 0.5, hjust=1)) + labs(x ='State Names')